Principal AI UX Lead

Workday•Pleasanton, CA

11d•$206,000 - $370,000•Hybrid

About The Position

Workday is seeking a Principal/Senior AI UX Lead to join their Agent Factory team. This role is responsible for building the conversational AI experience and ambient capabilities that bring Workday's agents to life. The position involves owning features end-to-end, connecting agentic logic directly to the user interface, and designing and shipping experiences that bridge the gap between AI capabilities and user intent. The goal is to turn powerful technology into scalable, reliable products that simplify complex business processes. The role requires close collaboration with AI engineers, software engineers, product managers, and designers to ensure a seamless user experience. This is a production-grade AI role focused on deeply embedded AI within Workday's platform, not research experiments. The Agent Factory team is composed of small, senior, cross-functional AI teams focused on creating intelligent agents used by millions daily.

Requirements

P5 Principal AI UX Lead: 12+ years of experience in software engineering
P5 Principal AI UX Lead: 7+ years experience with a web development framework (TypeScript/React, Python/FastAPI)
P5 Principal AI UX Lead: 3+ years of experience building conversational or agentic AI applications
P5 Principal AI UX Lead: 5+ years of experience leading projects or teams
P4 Senior AI UX Lead: 8+ years of experience in software engineering
P4 Senior AI UX Lead: 5+ years experience with a web development framework (TypeScript/React, Python/FastAPI)
P4 Senior AI UX Lead: 2+ years of experience building conversational or agentic AI applications
Experience collaborating with product designers, or a demonstrated portfolio focusing on high-quality UX/UI design principles
Experience building and operating SaaS products in cloud environments (AWS preferred)
Familiarity with the tradeoffs and architecture of modern distributed systems
Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
Hands-on experience with containerization technologies (Docker, Kubernetes)
Familiarity with Elasticsearch
Proven success working within fast-paced, agile environments and cross-functional teams
Strong communication skills, with the ability to collaborate with both technical and non-technical partners
Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions
Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement

Nice To Haves

Exposure to additional programming languages like Java (backend) and TypeScript (frontend/fullstack) is a plus

Responsibilities

Design and deliver intuitive conversational and agentic AI experiences, prioritizing seamless user interactions and thoughtful workflows.
Shape how users experience AI reasoning by bridging the gap between powerful agent capabilities and clear, usable interfaces.
Collaborate in an iterative, team-first environment that values strong engineering practices and continuous learning.
Share knowledge, mentor teammates, and help raise the technical bar across the pod.